An approach for downscaling images for real-time pattern detection

Yoshifumi, Tanida; Matsumoto, Tsutomu

doi:10.1109/fpt.2008.4762394

Cited by 3 publications

(3 citation statements)

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“…The minimum image is D (α 15 = 1 32 ,α 15 = 1 32 ) . The details of the downscaling unit can be found in [2].…”

Section: Rotation Of the Pattern Around The Z Axismentioning

confidence: 99%

“…We can obtain the same quality when downscaled directly from the original image by n ml , and when downscaled in two steps (first by n m , and then 1 l ). The details of the method is given in [2].…”

Section: A Downscaling Imagesmentioning

confidence: 99%

“…In our approach, oblique projections of a given pattern and sequences of templates, each of which is a rotation of the projections around the z axis, are generated in advance. Then, each template is compared with the same size windows in the downscaled images (downscaled by α k and α l (k, l = 0, 1, 2, ..., n) along the x and y axes) [2]. With this method, we can find larger patterns than the template in the original image.…”

Section: Introductionmentioning

confidence: 99%

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Detecting Patterns in Various Size and Angle Using FPGA

Suzuki

Yoshifumi

Matsumoto

2010

2010 International Conference on Field Programmable Logic and Applications

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In this paper, we describe an approach for detecting patterns in various size and angle using FPGA. In many approaches, features of a given pattern which are invariant to scaling and/or rotation are defined in advance, and those features are searched in a given image. These approaches make it possible to narrow down the candidate regions with less computational cost, but the sensitivity depends on how to define the features. In our approach, the image is downscaled by α k and α l along the x and y axes (k, l = 0, 1, 2, ..., n), and the regions in the downscaled images are compared with several sequences of the templates which are generated from the given pattern using direct cross-correlation. This approach requires high computational cost, but by calculating the cross-correlations incrementally starting from the nonrotated pattern, it becomes possible to detect the rotated patterns in various size and angle with one FPGA.

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“…The minimum image is D (α 15 = 1 32 ,α 15 = 1 32 ) . The details of the downscaling unit can be found in [2].…”

Section: Rotation Of the Pattern Around The Z Axismentioning

confidence: 99%

Section: A Downscaling Imagesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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